Abstract: Disclosed embodiments provide techniques for supply chain risk management that include user input quality as a factor in risk computation. User input errors can be a factor in supply chain risk management. Account numbers, part numbers, and quantities, if entered erroneously, can give a false picture of the state of the supply chain. A user input quality score is computed based on a deviation between a training set of user input data and a measured set of user input data. The deviation between the training set and the measured set can be associated with risk of user input error. A larger deviation can be indicative of a higher probability of an input error. The user input can include keyboard input, mouse input, touchscreen input, or other suitable input methods. In this way, a more complete assessment of supply chain risk can be computed and presented to product stakeholders.